Data enrichment using parallel search

A method of data enrichment using a plurality of searches in parallel, comprising:

• receiving, at an enrichment engine, a set of structured data including at least a first entry;
• generating a normalized first entry by using subword tokenization of the first entry;
• executing, by the enrichment engine, the plurality of searches concurrently, wherein the plurality of searches comprises:
• a first search configured to map a portion of the normalized first entry to a first result using regular expressions and fuzzy matching;
• a second search configured to provide the normalized first entry to a machine learning model in order to receive a second result;
• and
• a third search configured to map a vectorized version of the normalized first entry to a third result in a vector database;
• determining, by the enrichment engine, a selected result from the first result based on the first search, the second result based on the second search, or the third result based on the third search;
• and
• returning the selected result including enhancement information for the first entry.

A non-transitory computer-readable medium storing a set of instructions for data enrichment, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive a set of structured data including at least a first entry;
• generate a normalized first entry by using subword tokenization of the first entry;
• determine a selected result, with enhancement information for the first entry, using one or more of regular expressions, fuzzy matching, or a machine learning model;
• calculate a confidence level associated with the selected result;
• and
• return the selected result, including the enhancement information, and the confidence level.